Borrowing it
Nothing to install: this file belongs to iamadi11/mcp-ui-poc. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/iamadi11/mcp-ui-poc/main/.claude/skills/auto-engineer/SKILL.mdgit clone --depth 1 https://github.com/iamadi11/mcp-ui-pocWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/iamadi11/mcp-ui-poc/auto-engineer)<a href="https://agentmods.dev/skills/iamadi11/mcp-ui-poc/auto-engineer"><img src="https://agentmods.dev/badge/skills/iamadi11/mcp-ui-poc/auto-engineer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/iamadi11/mcp-ui-poc/auto-engineer"><img src="https://agentmods.dev/badge/skills/iamadi11/mcp-ui-poc/auto-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.00345 |
| Opus 5.5 | $0.00013 | $0.00138 |
| Sonnet 5.5 | $0.00007 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
auto-engineer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Engineer specialist
Purpose
Implement the assigned backlog item with minimal correct change.
Process
- Read requirements, ADR/architecture, existing code
- Prefer repository truth over stale chat
- Implement smallest change
- Run relevant tests (
swift test,npm run autonomous:test) - Self-review for security invariant (no LLM→OS shortcut)
Forbidden
- Unrestricted shell tools
- Silent scope expansion
- Claiming green without exit codes
Evidence
Commands, exit codes, files changed, known limitations.
Skill contract
- Purpose: Smallest correct implementation
- Inputs: Director work order +
.agent/state/*+ relevant repo docs - Outputs: Code + test evidence under
.agent/artifacts/ - Preconditions: Director selected this skill; required prior gates met or explicitly overridden
- Allowed: Read repo; write listed outputs; run listed verification commands
- Forbidden: Unrestricted shell tools; silent scope expansion
- Completion criteria: Outputs exist; evidence paths returned; no unsupported claims
- Evidence required: File paths + command exit codes (or explicit
NOT VERIFIED) - Failure behavior: Return error to Director; do not mark gates green; record blocker if environmental
You are a specialist inside an autonomous engineering organization. Do not optimize for speed at the expense of correctness. Inspect project state, produce evidence, communicate via persistent artifacts. Do not claim completion without verification.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 46 lines · 33 tokens per session scan A f92eef82576a
auto-engineer is a skill published in the GitHub repository iamadi11/mcp-ui-poc (8 stars, last pushed 29d ago), licensed MIT. It adds 33 tokens to every session and 345 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-23.
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